AWS Compute Optimizer vs. ControlMonkey
A side-by-side comparison based on G2 review data.
| Metric | AWS Compute Optimizer | ControlMonkey |
|---|---|---|
| Overall rating | 4.4 | 5.0 |
| Review count | 17 | 11 |
| Ease of use | 8.8 | 10.0 |
| Ease of setup | 9.5 | 9.8 |
| Quality of support | 9.0 | 10.0 |
| Meets requirements | 9.2 | 9.8 |
| NPS | 58.823529 | 100 |
| Small Business | 41.2% | 0.0% |
| Mid-Market | 35.3% | 72.7% |
| Enterprise | 23.5% | 27.3% |
| Total page views | 77 | 176 |
| Total LLM citations | 29 | 296 |
AWS Compute Optimizer
AWS Compute Optimizer is a service that leverages machine learning to analyze the configuration and utilization metrics of your AWS resources, such as Amazon EC2 instances, Amazon EBS volumes, AWS Lambda functions, and Amazon ECS services on Fargate. It provides actionable recommendations to help you rightsize your resources, enhancing performance and reducing costs by up to 25%. By evaluating your workload patterns, Compute Optimizer identifies under-provisioned or over-provisioned resources and suggests optimal configurations to meet your performance and capacity requirements.
- Ease of Use
- Recommendations
- Dashboards
ControlMonkey
ControlMonkey is a Cloud Disaster Recovery and Configuration Resilience platform that helps organizations make cloud and SaaS configurations recoverable at enterprise scale. The platform enables DevOps, Platform Engineering, Cloud Infrastructure, and SRE teams to continuously discover assets, create automated recovery points, track configuration changes, and restore known-good states after incidents. Unlike traditional backup solutions that focus on data and workloads, ControlMonkey protects the configurations required to operate modern cloud environments.